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342 results for “reed”
Figura 1 in Las especies del grupo de Hypodynerus caupolicanus (Reed, 1893) (Hymenoptera: Vespidae: Eumeninae), con descripción de dos nuevas especies de Chile
Figura 1. Hypodynerus aceitunoi sp. nov. A. Vista lateral izquierda. B. Vista dorsal. C. Cabeza vista frontal. D. Clípeo vista lateral. / A. Left side view. B. Dorsal view. C. Head frontal view. D. Clypeus lateral view.
Fig. 1 in Area Requirements Of Passerine Birds In The Reed Archipelago Of Lake Velence, Hungary
Fig. 1. Incidence functions of the 8 passerine bird species observed on the 109 reed islands at Lake Velence, Hungary. Abbreviations: Acraru = Acrocephalus arundinaceus, Acrsci = A. scirpaceus, Acrsch = A. schoenobaenus, Acrmel = A. melanopogon, Loclus = Locustella luscinioides, Panbia = Panurus biarmicus, Embsch = Emberiza schoeniclus, Lussve = Luscinia svecica
Fig. 3 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)
Fig. 3. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358), A–G, L, M, P; ovig. female 8.2 mm (allotype, NSMT-Cr 24359), H–K, N, O, Q, R. A, head; B, antenna 1; C, antenna 2; D, upper lip; E, lower lip; F, maxilla 1; G, maxilla 2; H, left mandible; I, distal part of right mandible; J, maxilliped; K, articles 3 and 4 of maxillipedal palp (ventral view); L, N, gnathopod 1; M, O, distal articles of gnathopod 1; P, Q, gnathopod 2; R, oostegite of gnathopod 2. Scale 1, 0.5 mm for N and Q; scale 2, 1 mm for B and C; scale 3, 1 mm for L, P, and R, 0.4 mm for O; scale 4, 2 mm for A, 0.5 mm for D–I, 0.2 mm for J, K, and M.
Fig. 5 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)
Fig. 5. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358). A–C, pleonite side plates 1–3; D, F, G, pleopods 1–3; E, retinacula of pleopod 1; H–J, uropods 1–3; K, telson. Scale 1, 1 mm for A–D, F–I, 0.1 mm for E; scale 2, 0.5 mm for J and K.
Fig. 4 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)
Fig. 4. Lowryella wadai gen. et sp. nov. Male 9.9 mm (holotype, NSMT-Cr 24358), A–K, O–S; ovig. female 8.2 mm (allotype, NSMT-Cr 24359), L–N. A, M, pereopod 3; C, E, G, pereopods 4–6; I, L, pereopod 7; B, D, F, H, J, distal parts of pereopods 3–7 (arrow in B points to locking robust-seta); K, enlarged serrate seta (distal half) on propodus of pereopod 7; N, oostegite of pereopod 5; O–S, coxal gills of gnathopod 2 and pereopods 3–6. Scale 1, 0.2 mm for B, D, F, H, and J; scale 2, 1 mm for A, C, E, G, and I; scale 3, 1 mm for L and M; scale 4, 1 mm for N–S, 0.1 mm for K.
Fig. 2 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)
Fig. 2. Photos of fixed specimens of Lowryella wadai gen. et sp. nov. Upper, male 6.5 mm (paratype, NSMT-Cr 24360); lower, female 7.8 mm (paratype, NSMT-Cr 24362). Scale: 2 mm.
Potential local adaptation in populations of invasive reed canary grass (Phalaris arundinacea) across an urbanization gradient
<p>Urban stressors represent strong selective gradients that can elicit evolutionary change, especially in non-native species that may harbor substantial within-population variability. To test whether urban stressors drive phenotypic differentiation and influence local adaptation, we compared stress responses of populations of a ubiquitous invader, reed canary grass (Phalaris arundinacea). Specifically, we quantified responses to salt, copper, and zinc additions by reed canary grass collected from four populations spanning an urbanization gradient (natural, rural, moderate urban and intense urban). We measured ten phenotypic traits and trait plasticities, because reed canary grass is known to be highly plastic and because plasticity may enhance invasion success. We tested the following hypotheses: 1) source populations vary systematically in their stress response, with the intense urban population least sensitive and the natural population most sensitive, and 2) plastic responses are adaptive under stressful conditions. We found clear trait variation among populations, with the greatest divergence in traits and trait plasticities between the natural and intense urban populations. The intense urban population showed stress tolerator characteristics for resource acquisition traits including leaf dry matter content and specific root length. Trait plasticity varied among populations for over half the traits measured, highlighting that plasticity differences were as common as trait differences. Plasticity in root mass ratio and specific root length were adaptive in some contexts, suggesting that natural selection by anthropogenic stressors may have contributed to root trait differences. Reed canary grass populations in highly urbanized wetlands may therefore be evolving enhanced tolerance to urban stressors, suggesting a mechanism by which invasive species may proliferate across urban wetland systems generally.</p>
Fig. 4 in Daytime Activity Of Reed Passerine Birds Based On Mist-Netting
Fig. 4. Daily activity of juvenile (black columns) and adult (dotted columns) reedbed passerines in National Nature Reserve Parížske močiare marsh in the late breeding periods of 1999–2004
Fig. 2 in Daytime Activity Of Reed Passerine Birds Based On Mist-Netting
Fig. 2. The morning (left) and evening (right) mean capture times (±SE) of reedbed passerines in National Nature Reserve Parížske močiare marsh in the late breeding periods of 1999–2004. (Llus: Locustella luscinioides (n = 293), Amel: Acrocephalus melanopogon (n = 78), Asch: A. schoenobaenus (n = 445), Apal: A. palustris (n = 112), Asci: A. scirpaceus (n = 1270), Aaru: A. arundinaceus (n =
Fig. 1 in Daytime Activity Of Reed Passerine Birds Based On Mist-Netting
Fig. 1. Capture rates of reedbed passerines mist netted in National Nature Reserve Parížske močiare marsh in the late breeding periods of 1999–2004
Figs 17–24. C in The Morphology Of Adults Of Cryptonevra Lioy, 1864 Species (Diptera, Chloropidae) Occurring On The Common Reed (Phragmites Australis)
Figs 17–24. C. diadema. Epandrium: 17 = posterior view, 18 = anterior view, 19 = anterior lobe, antero-ventral view, 20 = ventral view; Hypandrium and phallic complex: 21 = frontal view, 22 =
Figs 9–16. C in The Morphology Of Adults Of Cryptonevra Lioy, 1864 Species (Diptera, Chloropidae) Occurring On The Common Reed (Phragmites Australis)
Figs 9–16. C. nigritarsis. Epandrium: 9 = posterior view, 10 = anterior view, 11 = anterior lobe, antero-ventral view, 12 = ventral view; Hypandrium and phallic complex: 13 = frontal view, 14 =
Figs 1–8. C in The Morphology Of Adults Of Cryptonevra Lioy, 1864 Species (Diptera, Chloropidae) Occurring On The Common Reed (Phragmites Australis)
Figs 1–8. C. flavitarsis. Epandrium: 1 = posterior view, 2 = anterior view, 3 = anterior lobe, antero-ventral view, 4 = ventral view; Hypandrium and phallic complex: 5 = frontal view, 6 = phal-
Fig. 3 in Daytime Activity Of Reed Passerine Birds Based On Mist-Netting
Fig. 3. Morning (white), daily (dotted) and evening (black) activity of reedbed passerines in National Nature Reserve Parížske močiare marsh in the late breeding periods of 1999–2004. (Llus: Locustella luscinioides, Amel: Acrocephalus melanopogon, Asch: A. schoenobaenus, Apal: A. palustris, Asci: A.
Figure 1 in The effects of weather and reed management on nesting parameters of the Great Reed Warbler, Acrocephalus arundinaceus (Aves: Sylviidae)
Figure 1. The relationship between mean water depth and nest density of the Great Reed Warbler at the Bager Pond for the period 2008-2016.
Figure 2 in The effects of weather and reed management on nesting parameters of the Great Reed Warbler, Acrocephalus arundinaceus (Aves: Sylviidae)
Figure 2. The relationship between the amount of precipitation and nesting success of the Great Reed Warbler at the Bager Pond for the period 2008-2016.
Fig. 3. Correlation coefficients estimated between water quality indicators and morphological Fig. 4 in Investigation Of Common Reed Regrowth On The Shores Of Recreational Lakes
Fig. 3. Correlation coefficients estimated between water quality indicators and morphological Fig. 4. The number of holidaymakers near parameters of common reeds on the shores of Bridvaisis, Gaustvinis and Gilius lakes (in the Bridvaisis, Gaustvinis and Gilius Lakes. The order from the bottom to the top) and differences boundary of the continuous line side indicates in morphological parameters of plants after the cases where p <0.01; dashed lines, where p <0.05. holidaymakers' visits.
Fig. 2 in Investigation Of Common Reed Regrowth On The Shores Of Recreational Lakes
Fig. 2. Differences in water temperature (graph on the left) and dissolved oxygen concentration (graph on the right) of Bridvaisis, Gaustvinis and Gilius lakes in May-September, 2017.
Fig.1 in Investigation Of Common Reed Regrowth On The Shores Of Recreational Lakes
Fig.1. Water temperature (graph on the left) and dissolved oxygen concentration (graph on the right) of Bridvaisis, Gaustvinis and Gilius lakes in May-September, 2017.
How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios
<p>This data were presented in the research paper “How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios”, currently accepted in the journal Global Change Biology Bioenergy (https://onlinelibrary.wiley.com/journal/17571707).<br>The study delivers a model-based evaluation of how much energy, in the form of biomethane and bioethanol, can be produced by giant reed and Miscanthus across Italy in 2000, 2055 and 2085. Marginal lands were defined as low profitable non-irrigated lands, without mechanization and/or nature conservation limitations. Our findings offer an estimation of achievable energy yields and related stability under current/future climate, identifying critical spots and opportunities at province and regional level across Italy.<br>This work was conducted by the Council for Agricultural Research and Economics and supported by the Italian Ministry of Agricultural, Food and Forestry Policies (MiPAAF) under i) the AGROENER project (D.D. n. 26329, April 1, 2016, http://agroener.crea.gov.it/) and ii) the AgriDigit-Agromodelli project (DM n. 36502 of 20/12/2018, https://www.progettoagridigit.it/il-progetto).</p> <p><br>The database used was split in two main datasets, one for the national case study and one for the provincial case study (Bologna province).<br>The national dataset consists of:<br>1) a gridded shape file (Marginal_Suitable_Areas_National.shp; 500 x 500 m resolution) including marginal lands suitable for Miscanthus and giant reed cultivation across Italy (code_nod field), together with related geographic coordinates;<br>2) a csv file (Results_National.csv) reporting the values of key output variables for each of the marginal lands considered. Output variables are:<br>a. USDA soil texture classification: 1= Loamy, 2=Sandy−loam, 3=Silty−loam, 4= Clay−loam, 5= Sandy−clay−loam, 6=Silty−clay−loam, 7=Loamy−sand, 8=Sandy−clay, 9=Silty−clay, 10=Silty, 11=Clay, 12=Heavy−clay, 13=Sandy.<br>b. soil organic carbon (SOC) classification: SOC≤1.5%=low, 1.5%<SOC≤3%,=medium, otherwise=high;<br>c. maximum soil depth (depth) classification: depth≤50 cm=shallow, otherwise=deep;<br>d. absolute values of aboveground biomass (AGB, Mg ha-1) and energy yields (Giga J ha-1) obtainable from bioethanol (ETA) and biomethane (MET) energy carriers simulated for giant reed (GR) and Miscanthus (MI) in the current scenario;<br>e. minimum (Mn) and maximum (Mx) AGB percentage (%) variations (compared to the baseline) estimated in 2055 (55) and 2085 (85) for RCP 4.5 (4.5) and RCP 8.5 (8.5) scenarios;<br>f. potentially assignable marginal lands to Miscanthus (2) and giant reed (1) crop species in Italy based on attainable energy yields under current (C_Base) and future (2085) time slices, considering the more pessimistic (C_8.5_85_MIN) and optimistic (C_4.5_85_MAX) AGB projection for both crops.</p> <p><br>The provincial dataset (case study in the Bologna province) consists of:<br>1) a gridded shape file (Marginal_Suitable_Areas_Provincial.shp, 500 x 500 m resolution) including marginal lands suitable for Miscanthus and giant reed cultivation across the Bologna province (code_nod field), together with related geographic coordinates;<br>2) a csv file (Results_Provincial.csv) reporting the values of key output variables for each of the marginal lands considered. Output variables are:<br>a. absolute values of simulated energy (EN, Giga J ha-1) from bioethanol (ETA) and biomethane (MET) for giant reed (GR) and Miscanthus (MI) in 1995,<br>b. energy percentage variations (compared to the baseline) estimated in 2085 for more optimistic (EN_Mx, i.e., RCP 4.5_max) and pessimistic (EN_Mn, i.e., RCP 8.5_min) projections for giant reed (GR) and Miscanthus (MI) and<br>c. coefficients of variations (CV, %) computed for the whole 30-year period centred on 1995 (B) and 2085 for RCP 4.5_max (CV_Mx) and RCP 8.5_min (CV_Mn) for giant reed (GR) and Miscanthus (MI) in the Bologna province.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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